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Developing efficient handwriting recognition systems that are fast and highly reliable is a challenging problem. This work represents the development of an online handwriting recognition system for Bangla script, widely used in eastern India and Bangladesh. In our approach, an online handwritten character/cluster is characterized by structure or shape based representation of a stroke in which a stroke...
This paper discusses neural network technique for fault diagnosis of a cracked cantilever beam. In the neural network system there are six input parameters and two output parameters. The input parameters to the neural network are relative deviation of first three natural frequencies and first three mode shapes. The output parameters of the neural network system are relative crack depth and relative...
The Human Ear is a new class of relatively stable Biometrics that has drawn researcher's attention recently. Human ear is a perfect data for passive person identification, which can be applied to provide security in the public places. In this article, we overview the proposed Pattern extraction algorithms from 2D and 3D Ear images.
We consider the problem of distributed, autonomous area coverage using a team of mobile mini-robots that have limited sensing and computation capabilities. Specifically, we investigate the following hypothesis - can mini-robots organized in small teams improve the efficiency of area coverage as compared to area coverage using robots that are not organized as teams? We envisage that team formation...
We present an adaptive smoothing scheme for denoising functional magnetic resonance imaging (fMRI) data using weighted average filtering. A novel metric is proposed that assigns the weights of the smoothing kernel on the basis of similarity of the voxels under the smoothing kernel with the voxel under consideration as well as a reference time course. Pearson's coefficient of correlation is used as...
UWB (Ultra Wide Band) technology is a reliable transmission scheme for wireless communication with high data rates. It is called as impulse radio, impulse radar or carrier free ultra high resolution scheme. UWB is defined as signals with fractional band width more than 20% of its central frequency or as signals with bandwidth more than 500 MHZ. UWB can be characterized with ultra-short duration pulses...
Detecting the point in time where a dynamic fitness landscape changes is vital for a considerable number of diversity management schemes that used in evolutionary algorithms employed for solving dynamic optimization problems. Here, we introduce a change detector based on principles of artificial immune systems, namely a negative selection algorithm. We show in numerical experiments that such an immunological...
This paper presents a method for recognizing Bengali printed characters by using view-based and layer-based approaches. Two different view-based approaches, the top-bottom and the left-right have been used. The layer-based approach is also considered here. No thinning or segmentation is required. The individual character is taken as a whole image. The characteristic points are extracted from the views...
Microarray technology has emerged as one of the robust methodology for quantitatively analyzing gene expressions of thousands of genes simultaneously. The experimental design, image processing and data analysis are the three major stages of microarray based analysis. The main goal of array image processing is, to measure the intensity of the spots and quantify the gene expression values based on these...
Recently a new method for recognition of isolated handwritten Persian digits, based on support vector machines (SVMs), has been introduced. In this research, this method was implemented for the same task with three new modifications, i.e. only one popular shape was considered for digits written in different shapes; sizes of glyphs normalized to digit boundaries; MLP (multi-layer perceptron), SVM/MLP...
Equivalence relations and tolerance relations are reinspected using pansytems methodology. Based on the pansystems' new point of view of binary relations, the maximum tolerance classes are defined. The essence of the maximum tolerance classes are further revealed and associated with pansystems' body-shadow relation systems. A method of knowledge discovery based on tolerance relations is proposed and...
Vehicle Class is an important parameter in road traffic measurement. In this paper authors developed an algorithm to find the accuracy of the system for vehicle classification using different techniques. The algorithm mainly reads the inference system and applies various input samples, check the class of each sample and calculate the accuracy. Initially the classification was done using Type-1 fuzzy...
In this study, we discuss recent advances in the theory and practice of exemplar-based clustering. In the context of clustering, exemplars are those representative objects in the data sets. A recently proposed approach called convex clustering with exemplar-based models, referred as (CCE), adopts a convex objective function with a global solution. Although the existing frame work of CCE is attractive,...
Structural textures are characterized by repeating pattern called `Texton' and placement rule - that determines the nature of periodicity. Based on periodicity, textures are classified as homogeneous - perfectly periodic and weakly homogeneous - quasi-perioidic. Both of these textures are assumed to be combination of Structural information, Illumination i.e. average brightness at different sites of...
3D computer graphics becomes a core technology for various applications such as scientific visualization, medical training and procedure, art, and entertainment. Geometric sense is a key skill for accurately understanding 3D information and designing relevant contents. We propose an electronic paper craft modeling system useful for fostering the basic geometric skill. The proposed system enables users...
The aim of this work is to estimate the volume of a random shape cavity using distance sensors which transmit on a surface of a sphere, where sensors are mounted in a normal distribution. It is based on a variant method of convex surface volume measurement using triangulation. The innovation in the present work is that the measurements of distances for triangulation are taken from a random point of...
Active shape models (ASMs) are statistical, deformable models, exhibiting a remarkable performance for the segmentation of the lung fields in plain chest radiographs. In this paper we propose a novel approach to improving the robustness of the original ASM against weak lung field boundaries, which can cause leaking of the shape's contour into the lung fields. The ASM is shielded against leaking by...
In this paper, The electrical control system of a programmable ring lamp and it's application on vision measuring machine are introduced. The lamp is separated into five rings and eight sections. Every rings make the light reflection different because the LED eject light with different angle. Lamp control types are designed according to the controlling requirement. After the control styles have been...
In this paper, we propose an improved model, called three-dimensional (3-D) level set method, for active contours to detect maxillary sinuses in cone beam computed tomography(CBCT) images. This method is based on the techniques of two-dimensional(2-D) level set method and active contour without edges (or Chan-Vese) method. This model can detect the maxillary sinus correctly not only in normal cases,...
Recently, there has been an increasing interest to propose computational approaches based on image processing to automate the comparison of spatial gene expression patterns contained in transgenic embryo images. The first step is typically to classify the images between lateral and dorsal/ventral views, and then to align them along the anterior and posterior ends. While some methodologies have been...
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